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SOTA
Weakly Supervised Object Detection
Weakly Supervised Object Detection On Pascal
Weakly Supervised Object Detection On Pascal
Metrics
MAP
Results
Performance results of various models on this benchmark
Columns
Model Name
MAP
Paper Title
Repository
MSLPD
35.4
Few-Example Object Detection with Model Communication
-
WCCN
37.9
Weakly Supervised Cascaded Convolutional Networks
-
wetectron(single-model)
52.1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
-
Pred Net (Ens)
49.5
Dissimilarity Coefficient based Weakly Supervised Object Detection
-
C-MIDN+FRCNN
50.3
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection
-
WeakSAM-OICR-DINO (with SAM)
63.7
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
WeakSAM-MIST-DINO (with SAM)
70.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
NSOD
36.6
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
-
OICR + W-RPN
43.2
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
-
OICR-Ens + FRCNN
42.5
Multiple Instance Detection Network with Online Instance Classifier Refinement
-
ZLDN-L
42.9
Zigzag Learning for Weakly Supervised Object Detection
-
CASD(VGG16)
53.6
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
-
WeakSAM-MIST-Faster RCNN (with SAM)
69.2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
Deep Self-Taught Learning
38.3
Deep Self-Taught Learning for Weakly Supervised Object Localization
-
MELM
42.4
Min-Entropy Latent Model for Weakly Supervised Object Detection
-
OIM+IR+FRCNN
46.4
Object Instance Mining for Weakly Supervised Object Detection
-
WSDDN + context
35.3
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
-
WeakSAM-MIST (with SAM)
66.9
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
-
LM-VGPMIL
37.8
Variational Bayesian Multiple Instance Learning With Gaussian Processes
-
Ours+FRCNN
48.0
Utilizing the Instability in Weakly Supervised Object Detection
-
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